Conference Day Two

8:00 am Check In & Coffee

8:40 am Chair’s Opening Remarks

  • Stephen Odaibo Founder, Chief Executive Officer & Software Architect, RETINA-AI Health, Inc

Advancing Collaboration Between Engineers & Regulators

8:45 am Panel Discussion: Aligning Engineers & Regulators for Seamless Collaboration

Synopsis

  • Tackling communication barriers in highly regulated environments and creating a shared language between engineering and regulatory teams
  • Overcoming common misalignments in goals and timelines, with practical strategies to enhance collaboration without compromising technical and regulatory integrity
  • Real-world case studies on how leading companies have successfully aligned engineering and regulatory teams to achieve faster approvals and innovation

9:15 am Collaborative Risk Assessment for Faster Approvals

  • Brian Schick Digital Product Strategy & Development Lead, Takeda

Synopsis

  • Ensuring a streamlined risk assessment process that involves both engineering and regulatory teams
  • Revealing how to conduct joint risk assessments that satisfy both compliance and development needs without delays
  • Outlining techniques for maintaining regulatory timelines while addressing engineering challenges

9:45 am Key Considerations for Sponsors & Manufacturers of SaMDs & Medical Devices in Clinical Trials

Synopsis

  • Understanding risk management requirements, regulatory frameworks, and compliance standards such as ISO 14155 and ISO 13485
  • Aligning software development, clinical validation, and regulatory compliance to streamline approval and trial success
  • Implementing fit-for-purpose strategies to balance patient safety, data collection, and usability in clinical study protocols

10:15 am Harmonizing Quality Management with Regulatory Expectations: Bridging the Gap

  • Jason Gorman Director, Global Product Regulatory Affairs, ResMed

Synopsis

  • Aligning quality systems with regulatory standards by ensuring quality management systems (QMS) are designed to meet both regulatory and internal quality expectations
  • Managing software and hardware integration by integrating regulatory compliance into hybrid systems where software and hardware components interact seamlessly in medical devices
  • Optimizing Post-Market Surveillance and Compliance through strategies that harmonize regulatory expectations with post market activities, ensuring ongoing compliance and quality management

10:45 am Morning Break & Networking

From Concept to Clinical Impact: Building Smarter Medical Devices

11:30 am Leveraging Open-Source Tools for Medical Device Software Development

  • Andrew Wichmann Senior Intellectual Property and Licensing Manager, Digital Technology, John Hopkins

Synopsis

  • Improving speed and flexibility by utilizing open-source tools to streamline development and enable faster iterations
  • Ensuring regulatory compliance by integrating open-source solutions that meet industry standards
  • Building collaborative ecosystems by tapping into open-source communities for innovation and shared expertise while managing risks

12:00 pm Efficient Iterations: Reducing Time-to-Market for Medical Devices

  • Don Bigler Vice President of Engineering, IMVARI

Synopsis

  • Implementing agile methodologies to shorten development cycles and speed up time-to market
  • Integrating agile processes with regulatory requirements to avoid bottlenecks in approval timelines
  • Highlighting how iterative testing and validation have expedited product launches without compromising safety or compliance
  • Real-world examples: Fibresolve (de novo) and ScreenDx (510k)

Driving Better Patient Outcomes Through Smarter, AI-Enabled Technologies

12:30 pm Roundtable: The Role of Edge Computing in Real-Time Healthcare: Opportunities & Challenges

  • Joshua Park Chief Executive Officer, Global Biomedical

Synopsis

  • How can AI integration on the edge enhance real-time decision-making for clinicians and improve patient outcomes?
  • What are the key technical and regulatory challenges when integrating edge computing in medical devices, and how can they be addressed to ensure compliance and functionality?
  • How should the healthcare industry approach the ethical implications of real-time AI decision-making in medical devices?

1:00 pm Lunch & Networking

2:00 pm Transforming Patient Care with Predictive Algorithms & Real-Time Physiological Data

Synopsis

  • Adding value by developing predictive algorithms for real-time detection of patient deterioration before clinical recognition
  • Avoiding bias through the harnessing of continuous physiological data to create unbiased, data-driven solutions
  • Overcoming the last mile by focusing on deployment and clinical integration

2:30 pm HeartSciences Pillars of Excellence: A Story About how we Built a Medical Device Data System (MDDS) & Class II Cardiovascular Machine Learning- Based Notification Software in Record Time

  • Jason Domask Director, Software Engineering, HeartSciences

Synopsis

  • Collaborating regularly with clinicians to validate designs, gather feedback, and align solutions with real-world clinical needs
  • Integrating AI seamlessly into clinical workflows while addressing data access challenges and regulatory requirements
  • Leveraging agile development and strategic partnerships to enhance cybersecurity, streamline processes, and accelerate high-quality product delivery

2:30 pm Roundtable: Shaping the Future of Medical Devices: Innovation, Compliance, and Patient-Centric Development

Synopsis

  • How can the industry balance the rapid pace of technological innovation with the need to comply with increasingly complex regulatory frameworks?
  • What are the most effective strategies for addressing challenges in post-market surveillance and ensuring continuous compliance with evolving regulations?
  • How can we ensure that patient needs and real-world outcomes are prioritized throughout the entire product lifecycle, from design to market entry and beyond?

3:00 pm Data-Driven Innovation: Leveraging Big Data & AI in Development & Validation

  • Phani Bidarahalli Senior Director, Surgical Innovations, Research & Development, Medtronic

Synopsis

  • Building a data-driven ecosystem to enhance software validation, optimize testing processes, and accelerate iterative development
  • Exploring how big data and AI-driven analytics can identify software flaws, improve accuracy, and optimize device functionality
  • Navigating the regulatory landscape for integrating AI into software development while ensuring compliance with medical device standards

3:10 pm End of Conference

3:40 pm Chair’s Closing Remarks